2011
IMAACA 2011 Proceeding
Diagnosing photovoltaic systems: an iterative process
Authors: Abed Alrahim Yassine, Stephane Ploix, Hussein Joumaa
Abstract
? This paper presents the principles of a fault diagnosis system for photovoltaic plants that makes it possible iterative diagnosis processes. It proposes a solution for auto generating tests from models and consecutive measurements. Moreover, it is shown that overall possible diagnoses may be compute from the symptoms coming from the generated tests. The operation principles are detailed and technological aspects for implementation are discussed. Thanks to these diagnosis systems, maintenance operators just have to depict the photo- voltaic plant and to introduce iteratively the measurements they do. The system to be diagnosed is transformed into a MILP Problem (Mixed Integer Linear Programming) and a GLPK solver is used to find out all the possible diagnoses. Index Terms? Fault diagnosis, detection test design, Symp- tom generation, constraint satisfaction problem, MILP solver.
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